Data Analyst - Customer Experience

To succeed in this role, you will need:

• Having the technical skills to produce the required reports from the business side
• Having the analytical skills to understand the business logic and propose new ideas or strategies that help drive it forward
• Strong communication and interpersonal skills, as well as creativity and attention to detail in data visualization and information delivery.
• Bachelor's degree in engineering or sciences.
• Strong data analysis and management skills, using data analysis and database exploitation tools: advanced SQL, proficiency in Data Discovery and Statistical Analysis, Python, Airflow.
• Training in programming languages.
• Creating dashboards with visualization tools such as QlikSense, Looker, etc.
• Advanced office suite skills (Excel, PowerPoint, etc.).
• Experience managing large volumes of data.
• Experience managing information projects (client and vendor relationships).
• Ability to translate business requirements into technical specifications.
• A proactive, enthusiastic, and committed person who enjoys collaboration.
• A flexible profile with the ability to adapt to change.
• Strong communication and interpersonal skills.
• A business-oriented mindset focused on customer experience.
• Experience defining and tracking commercial KPIs.

The following will be valued positively:

• Experience working with or analyzing customer experience (NPS, touchpoints, etc.)
• Previous experience with Google Cloud or other cloud platforms (AWS, etc.).
• Previous experience in banking within analytics/BI departments.

• Be part of the most innovative Bank in Western Europe, according to The Innovators awards from the American magazine Global Finance.
• Onboarding program and personalized support for your professional development.
• Individual training plan with access to our online platform, which offers an extensive catalog of self-learning resources to foster your continuous growth.
• You will have a complete health insurance plan entirely free of charge for you. In addition, you will be enrolled in the Pension Plan, to which CaixaBank will make contributions with your future in mind.
• Flexible compensation applied to transportation, training, languages, childcare, among others.
• Flexibility measures (remote work, flexible entry).
• We hold the Top Employer certification, which recognizes us as one of the best companies to work for

We are looking for a Data Analyst to drive the development of the bank's information layer and deliver direct value to the business and management. The mission will be to transform data - both structured and unstructured - into useful knowledge that enables a better understanding of the business, the market, and our customers, as well as identifying opportunities for improvement and growth.

The selected candidate will join a cross-functional team and play a key role as an end-to-end analyst, combining ad-hoc analysis, process automation, KPI definition, dashboard construction, and active participation in the migration of our processes and projects to the cloud.

This role is ideal for someone with strong initiative, analytical skills, curiosity, and a desire to take on a broad and impactful role within the team.

Querying, structuring, and analyzing large volumes of data using statistical and programming skills to identify patterns and extract valuable insights for the organization. Able to communicate insights clearly and in a structured manner through presentations and/or dashboards.

Managing client relationships (business units and areas)

• Acting as a regular point of contact with business units and management areas to understand their needs and translate them into data-driven solutions.
• Prioritizing and planning projects and recurring requests.
• Managing expectations, monitoring progress, and communicating results.

Carrying out projects covering the full data analysis cycle

• Gathering business information requirements
• Exploring data in Datapool and/or external sources. From data extraction to processing, to generating the required information
• Proposing and generating KPIs
• Building reports / analyses to present information
• Communicating results to clients
• Designing, developing, maintaining, and automating processes for recurring reporting or ad-hoc requests.